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Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders
Major depressive disorder (MDD) is highly prevalent, recurrent, and associated with functional impairment, morbidity, and mortality. Herein, we aimed to identify disruptions in functional connectomics among subjects with MDD by using resting-state functional magnetic resonance imaging (rs-fMRI). Six...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702252/ https://www.ncbi.nlm.nih.gov/pubmed/29181274 http://dx.doi.org/10.7717/peerj.3147 |
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author | Chen, Vincent Chin-Hung Shen, Chao-Yu Liang, Sophie Hsin-Yi Li, Zhen-Hui Hsieh, Ming-Hong Tyan, Yeu-Sheng Lu, Mong-Liang Lee, Yena McIntyre, Roger S. Weng, Jun-Cheng |
author_facet | Chen, Vincent Chin-Hung Shen, Chao-Yu Liang, Sophie Hsin-Yi Li, Zhen-Hui Hsieh, Ming-Hong Tyan, Yeu-Sheng Lu, Mong-Liang Lee, Yena McIntyre, Roger S. Weng, Jun-Cheng |
author_sort | Chen, Vincent Chin-Hung |
collection | PubMed |
description | Major depressive disorder (MDD) is highly prevalent, recurrent, and associated with functional impairment, morbidity, and mortality. Herein, we aimed to identify disruptions in functional connectomics among subjects with MDD by using resting-state functional magnetic resonance imaging (rs-fMRI). Sixteen subjects with MDD and thirty health controls completed resting-state fMRI scans and clinical assessments (e.g., Hamilton Depression Rating Scale (HAMD) and Hospital Anxiety and Depression Scale (HADS)). We found higher amplitude of low frequency fluctuations (ALFF) bilaterally in the hippocampus and amygdala among MDD subjects when compared to healthy controls. Using graph theoretical analysis, we found decreased clustering coefficient, local efficiency, and transitivity in the MDD patients. Our findings suggest a potential biomarker for differentiating individuals with MDD from individuals without MDD. |
format | Online Article Text |
id | pubmed-5702252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57022522017-11-27 Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders Chen, Vincent Chin-Hung Shen, Chao-Yu Liang, Sophie Hsin-Yi Li, Zhen-Hui Hsieh, Ming-Hong Tyan, Yeu-Sheng Lu, Mong-Liang Lee, Yena McIntyre, Roger S. Weng, Jun-Cheng PeerJ Neuroscience Major depressive disorder (MDD) is highly prevalent, recurrent, and associated with functional impairment, morbidity, and mortality. Herein, we aimed to identify disruptions in functional connectomics among subjects with MDD by using resting-state functional magnetic resonance imaging (rs-fMRI). Sixteen subjects with MDD and thirty health controls completed resting-state fMRI scans and clinical assessments (e.g., Hamilton Depression Rating Scale (HAMD) and Hospital Anxiety and Depression Scale (HADS)). We found higher amplitude of low frequency fluctuations (ALFF) bilaterally in the hippocampus and amygdala among MDD subjects when compared to healthy controls. Using graph theoretical analysis, we found decreased clustering coefficient, local efficiency, and transitivity in the MDD patients. Our findings suggest a potential biomarker for differentiating individuals with MDD from individuals without MDD. PeerJ Inc. 2017-11-22 /pmc/articles/PMC5702252/ /pubmed/29181274 http://dx.doi.org/10.7717/peerj.3147 Text en ©2017 Chen et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Neuroscience Chen, Vincent Chin-Hung Shen, Chao-Yu Liang, Sophie Hsin-Yi Li, Zhen-Hui Hsieh, Ming-Hong Tyan, Yeu-Sheng Lu, Mong-Liang Lee, Yena McIntyre, Roger S. Weng, Jun-Cheng Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
title | Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
title_full | Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
title_fullStr | Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
title_full_unstemmed | Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
title_short | Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
title_sort | assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702252/ https://www.ncbi.nlm.nih.gov/pubmed/29181274 http://dx.doi.org/10.7717/peerj.3147 |
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